AWS Big Data

JUNE 12, 2024

This connection allows ETL processes to interact with the Redshift cluster by establishing a JDBC connection. He has over 20 years of experience in software engineering, software architecture, and cloud architecture. He has over 25 years of experience in Enterprise data architecture, databases and data warehousing.

Data-driven 115

Data-driven Snapshot Optimization Management 115

AWS Big Data

MARCH 25, 2024

Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor. The result is made available to the application by querying the latest snapshot. AWS Glue can interact with streaming data services such as Kinesis Data Streams and Amazon MSK for processing and transforming CDC data.

Data Lake 121

Data Lake Unstructured Data Management Snapshot 121

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. Amazon Athena is used for interactive querying and AWS Lake Formation is used for access controls.

Data Lake 111

Data Lake Data Processing Metadata Snapshot 111

AWS Big Data

SEPTEMBER 13, 2024

Any code or connection interacts with the interface of the gateway only. Suvojit Dasgupta is a Principal Data Architect at Amazon Web Services. He leads a team of skilled engineers in designing and building scalable data solutions for AWS customers. In this case, the resource is the EMR on EKS clusters running Spark.

Management 111

Management Snapshot Cost-Benefit Testing 111

AWS Big Data

AUGUST 1, 2024

Success criteria alignment by all stakeholders (producers, consumers, operators, auditors) is key for successful transition to a new Amazon Redshift modern data architecture. The success criteria are the key performance indicators (KPIs) for each component of the data workflow. The following figure shows a daily usage KPI.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

AWS Big Data

APRIL 3, 2024

By analyzing the historical report snapshot, you can identify areas for improvement, implement changes, and measure the effectiveness of those changes. In Apache Spark, a SparkSession is the entry point for interacting with DataFrames and Spark’s built-in functions. config("spark.jars.packages", pydeequ.deequ_maven_coord).config("spark.jars.excludes",

Data Quality 118

Data Quality Visualization Metadata Metrics 118

AWS Big Data

OCTOBER 18, 2023

Many customers migrate their data warehousing workloads to Amazon Redshift and benefit from the rich capabilities it offers, such as the following: Amazon Redshift seamlessly integrates with broader data, analytics, and AI or machine learning (ML) services on AWS , enabling you to choose the right tool for the right job.

Analytics 111

Analytics Data Warehouse Dashboards Testing 111

AWS Big Data

MARCH 28, 2024

With these frameworks and related open-source projects, you can process data for analytics purposes and BI workloads. Sakti Mishra is a Principal Solutions Architect at AWS, where he helps customers modernize their data architecture and define their end-to-end data strategy, including data security, accessibility, governance, and more.

Optimization 113

Optimization IT Big Data Data Processing 113

Cloudera

DECEMBER 3, 2024

Apache Iceberg, together with the REST Catalog, dramatically simplifies the enterprise data architecture, reducing the Time to Value, Time to Market, and overall TCO, and driving greater ROI. It provides real time metadata access by directly integrating with the Iceberg-compatible metastore. Iceberg replication for disaster recovery.

Metadata 84

Metadata Data Warehouse ROI Machine Learning 84